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I'm looking for a way to actually display what the agent does once trained. I am a bit lost in the MuzeroEvaluator class for instance. Could you provide guidance so I can try and implement some env.render there ? I'll submit a pull request if successful afterwards.
Thanks a lot !
The text was updated successfully, but these errors were encountered:
Thank you very much for your interest in our work. We are currently organizing the relevant code for rendering and saving replay, and we plan to submit a Pull Request within the next few days. We appreciate your patience.
The example code for loading a trained model and saving the replay is now available in this Pull Request. To store the replay, you can set main_config.env.save_video = True in this file, and specify the path to your trained model's checkpoint file in model_path.
The Pull Request related to real-time video rendering and saving replay has been merged into the main branch. Please refer to the instructions in this file for visualizing the agent.
Hello,
I'm looking for a way to actually display what the agent does once trained. I am a bit lost in the MuzeroEvaluator class for instance. Could you provide guidance so I can try and implement some env.render there ? I'll submit a pull request if successful afterwards.
Thanks a lot !
The text was updated successfully, but these errors were encountered: